use universal simple table parser

changelog.txt

@@ -4,6 +4,7 @@ jc changelog
 - Add OSX support for the ifconfig parser
 - Add OSX support for the arp parser
 - Add OSX support for the df parser
+- Add universal parsers to refactor repetitive code
 - Updated ifconfig parser to output state as an array
 
 20191117 v1.5.1

jc/parsers/arp.py

@@ -81,6 +81,7 @@ Examples:
     ]
 """
 import jc.utils
+import jc.parsers.universal
 
 
 def process(proc_data):
@@ -168,10 +169,9 @@ def parse(data, raw=False, quiet=False):
 
         # fix header row to change Flags Mask to flags_mask
         cleandata[0] = cleandata[0].replace('Flags Mask', 'flags_mask')
+        cleandata[0] = cleandata[0].lower()
 
-        headers = [h for h in ' '.join(cleandata[0].lower().strip().split()).split() if h]
-        raw_data = map(lambda s: s.strip().split(None, len(headers) - 1), cleandata[1:])
-        raw_output = [dict(zip(headers, r)) for r in raw_data]
+        raw_output = jc.parsers.universal.simple_table_parse(cleandata)
 
         if raw:
             return raw_output

jc/parsers/universal.py

@@ -4,6 +4,30 @@
 import string
 
 
+def simple_table_parse(data):
+    """
+    Parse simple tables. The last column may contain data with spaces
+
+    Parameters:
+
+        data:       (list)   Text data to parse that has been split into lines via .splitlines().
+                             Item 0 must be the header row. Any spaces in header names should be
+                             changed to underscore '_'. You should also ensure headers are
+                             lowercase by using .lower().
+
+                             Also, ensure there are no blank lines (list items) in the data.
+
+    Returns:
+
+        dictionary   raw structured data
+    """
+    headers = [h for h in ' '.join(data[0].strip().split()).split() if h]
+    raw_data = map(lambda s: s.strip().split(None, len(headers) - 1), data[1:])
+    raw_output = [dict(zip(headers, r)) for r in raw_data]
+
+    return raw_output
+
+
 def sparse_table_parse(data, delim='\u2063'):
     """
     Parse tables with missing column data or with spaces in column data.